Question 12 When a binary search tree is balanced, it provides O 0(1) O O(logN) O O(N) search, addition, and removal.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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### Question 12

**When a binary search tree is balanced, it provides _________ search, addition, and removal.**

1. O(1)
2. O(logN)
3. O(N)

---

**Explanation:**
The question is assessing knowledge related to the time complexity of search, insertion, and deletion operations in a balanced binary search tree (BST). 

- **Option O(1):** This implies constant time complexity, meaning the operation time does not increase as the size of the tree increases. This is not true for BST operations.
- **Option O(logN):** This implies logarithmic time complexity, which is true for balanced binary search trees. In a balanced BST, the height of the tree is kept to O(logN), ensuring efficient search, addition, and removal operations.
- **Option O(N):** This implies linear time complexity, meaning the operation time increases linearly with the size of the tree. This is true for an unbalanced binary search tree but not for a balanced one.

Hence, the correct answer is:

**O(logN)**
Transcribed Image Text:### Question 12 **When a binary search tree is balanced, it provides _________ search, addition, and removal.** 1. O(1) 2. O(logN) 3. O(N) --- **Explanation:** The question is assessing knowledge related to the time complexity of search, insertion, and deletion operations in a balanced binary search tree (BST). - **Option O(1):** This implies constant time complexity, meaning the operation time does not increase as the size of the tree increases. This is not true for BST operations. - **Option O(logN):** This implies logarithmic time complexity, which is true for balanced binary search trees. In a balanced BST, the height of the tree is kept to O(logN), ensuring efficient search, addition, and removal operations. - **Option O(N):** This implies linear time complexity, meaning the operation time increases linearly with the size of the tree. This is true for an unbalanced binary search tree but not for a balanced one. Hence, the correct answer is: **O(logN)**
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